The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-10"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "20089624 (up from 19861683 yesterday: 1.15 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "736191 (up from 731326 yesterday: 0.67 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5381664

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.66



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 5094400 49536 0.98 1259723 163463 525 0.32 3.21
Brazil 3057470 22048 0.73 938824 101752 703 0.70 3.33
India 2268675 53601 2.42 1113337 45257 871 1.96 1.99
Russia 890799 5081 0.57 114587 14973 70 0.47 1.68
South Africa 563598 3739 0.67 189970 10621 213 2.05 1.88
Mexico 485836 5558 1.16 136440 53003 705 1.35 10.91
Peru 483133 5109 1.07 129543 21276 204 0.97 4.40
Colombia 397623 10142 2.62 193618 13154 312 2.43 3.31
Chile 375044 1988 0.53 44114 10139 62 0.62 2.70
Iran 328844 2132 0.65 52642 18616 189 1.03 5.66
Spain 322980 8618 2.74 58144 28576 73 0.26 8.85
United Kingdom 313392 818 0.26 16448 46611 -48 -0.10 14.87
Saudi Arabia 289947 1257 0.44 36598 3199 32 1.01 1.10
Pakistan 284660 539 0.19 18564 6097 15 0.25 2.14
Bangladesh 260507 2907 1.13 53054 3438 39 1.15 1.32
Argentina 253868 7369 2.99 123094 4764 158 3.43 1.88
Italy 250825 259 0.10 6201 35209 4 0.01 14.04
Turkey 241997 1193 0.50 21425 5858 14 0.24 2.42
France 239349 4112 1.75 25326 30327 0 0.00 12.67
Germany 218508 1220 0.56 15183 9203 1 0.01 4.21
Iraq 153599 3484 2.32 58906 5464 72 1.34 3.56
Philippines 136638 6725 5.18 67740 2294 24 1.06 1.68
Indonesia 127083 1687 1.35 38869 5765 42 0.73 4.54
Canada 122053 686 0.57 9115 9034 6 0.07 7.40
Qatar 113262 315 0.28 6225 188 4 2.17 0.17
Kazakhstan 100164 722 0.73 26696 1058 0 0.00 1.06
Egypt 95666 174 0.18 7264 5035 26 0.52 5.26
Ecuador 94701 242 0.26 20081 5932 10 0.17 6.26
Bolivia 91635 1636 1.82 30644 3712 72 1.98 4.05
China 88906 113 0.13 3592 4689 3 0.06 5.27
Israel 84722 1720 2.07 32719 613 13 2.17 0.72
Ukraine 83812 1045 1.26 23045 1950 25 1.30 2.33
Sweden 82972 649 0.79 4924 5766 3 0.05 6.95
Oman 81787 207 0.25 13387 521 8 1.56 0.64
Dominican Republic 80499 767 0.96 26543 1328 19 1.45 1.65
Panama 75394 902 1.21 20968 1664 25 1.53 2.21
Belgium 74620 468 0.63 10526 9879 7 0.07 13.24
Kuwait 72400 687 0.96 12637 482 4 0.84 0.67
Belarus 68947 97 0.14 2734 589 2 0.34 0.85
United Arab Emirates 62704 179 0.29 5511 357 0 0.00 0.57
Romania 62547 779 1.26 24408 2729 29 1.07 4.36
Netherlands 60058 698 1.18 7916 6178 0 0.00 10.29
Guatemala 56987 382 0.67 17948 2222 11 0.50 3.90
Singapore 55292 188 0.34 7257 27 0 0.00 0.05
Portugal 52825 157 0.30 4054 1759 3 0.17 3.33
Poland 52410 619 1.20 12027 1809 2 0.11 3.45
Japan 49617 835 1.71 23911 1052 5 0.48 2.12
Honduras 47872 418 0.88 13261 1506 11 0.74 3.15
Nigeria 46867 290 0.62 9642 950 5 0.53 2.03
Bahrain 44397 386 0.88 7461 163 1 0.62 0.37
Ghana 41212 209 0.51 12782 215 0 0.00 0.52
Armenia 40433 23 0.06 5452 796 5 0.63 1.97
Kyrgyzstan 40085 166 0.42 12942 1474 6 0.41 3.68
Afghanistan 37162 108 0.29 1636 1328 16 1.22 3.57
Switzerland 36708 105 0.29 3074 1987 1 0.05 5.41
Algeria 35712 552 1.57 12021 1312 10 0.77 3.67
Morocco 34063 826 2.49 16501 516 18 3.61 1.51
Azerbaijan 33647 79 0.24 5757 492 2 0.41 1.46
Uzbekistan 31304 695 2.27 14155 200 6 3.09 0.64
Serbia 28262 163 0.58 7009 646 5 0.78 2.29
Moldova 27841 181 0.65 6726 850 5 0.59 3.05
Kenya 26928 492 1.86 13157 423 3 0.71 1.57
Venezuela 26800 995 3.86 14466 229 6 2.69 0.85
Ireland 26768 56 0.21 1002 1772 0 0.00 6.62
Costa Rica 23872 586 2.52 12338 244 9 3.83 1.02
Ethiopia 23591 773 3.39 13384 420 13 3.19 1.78
Nepal 23310 338 1.47 5466 79 4 5.33 0.34
Austria 22106 73 0.33 2363 723 2 0.28 3.27
Australia 21713 316 1.48 9285 331 18 5.75 1.52
El Salvador 20872 449 2.20 8665 563 14 2.55 2.70
Czechia 18494 141 0.77 4396 390 0 0.00 2.11
Cameroon 18042 0 0.00 1885 395 0 0.00 2.19
Cote d’Ivoire 16798 83 0.50 2486 105 0 0.00 0.63
Denmark 15135 376 2.55 1669 620 3 0.49 4.10
Korea, South 14660 34 0.23 844 305 0 0.00 2.08
West Bank and Gaza 14510 302 2.13 5594 100 3 3.09 0.69
Bosnia and Herzegovina 14498 811 5.93 6019 425 31 7.87 2.93
Bulgaria 13512 116 0.87 4583 459 12 2.68 3.40
Madagascar 13202 116 0.89 6049 151 3 2.03 1.14
Sudan 11956 0 0.00 964 781 0 0.00 6.53
North Macedonia 11942 103 0.87 2693 528 1 0.19 4.42
Senegal 11312 137 1.23 2364 236 4 1.72 2.09
Kosovo 10419 550 5.57 4542 341 38 12.54 3.27

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 574231 14485 2.59 176361 10476 99 0.95 1.82 14533.00 265.13 1 in 69
Florida 536961 4155 0.78 176567 8277 91 1.11 1.54 25000.82 385.38 1 in 40
Texas 509581 6253 1.24 165798 9230 73 0.80 1.81 17574.25 318.32 1 in 57
New York 421336 476 0.11 14010 32781 7 0.02 7.78 21658.55 1685.09 1 in 46
Georgia 219025 2429 1.12 73443 4229 30 0.71 1.93 20628.83 398.31 1 in 48
Illinois 196699 1319 0.68 32777 7846 1 0.01 3.99 15522.55 619.17 1 in 64
Arizona 187523 600 0.32 42340 4154 4 0.10 2.22 24625.82 545.51 1 in 41
New Jersey 185031 258 0.14 8068 15878 4 0.03 8.58 20831.69 1787.62 1 in 48
North Carolina 137562 1216 0.89 36331 2199 7 0.32 1.60 13116.03 209.67 1 in 76
Louisiana 131961 562 0.43 37069 4287 24 0.56 3.25 28386.07 922.17 1 in 35
Pennsylvania 124221 909 0.74 17816 7314 3 0.04 5.89 9703.26 571.32 1 in 103
Tennessee 123914 1202 0.98 44160 1233 10 0.82 1.00 18134.18 180.44 1 in 55
Massachusetts 121315 275 0.23 7526 8741 6 0.07 7.21 17456.64 1257.79 1 in 57
Alabama 103020 1686 1.66 34129 1797 29 1.64 1.74 21010.83 366.50 1 in 48
Ohio 101731 883 0.88 25563 3673 4 0.11 3.61 8703.07 314.22 1 in 115
South Carolina 101159 724 0.72 29714 2048 17 0.84 2.02 19647.43 397.77 1 in 51
Virginia 100749 663 0.66 22374 2327 1 0.04 2.31 11803.50 272.63 1 in 85
Michigan 97306 580 0.60 14911 6526 7 0.11 6.71 9743.41 653.46 1 in 103
Maryland 96258 755 0.79 17573 3591 6 0.17 3.73 15921.78 593.98 1 in 63
Indiana 74992 664 0.89 17786 3044 3 0.10 4.06 11139.27 452.15 1 in 90
Mississippi 67649 476 0.71 23760 1912 16 0.84 2.83 22730.38 642.44 1 in 44
Washington 63647 575 0.91 15904 1697 9 0.53 2.67 8358.23 222.85 1 in 120
Minnesota 61516 618 1.01 14409 1701 3 0.18 2.77 10907.80 301.62 1 in 92
Wisconsin 61061 507 0.84 18043 998 0 0.00 1.63 10487.19 171.41 1 in 95
Missouri 60359 976 1.64 26257 1341 7 0.52 2.22 9834.58 218.50 1 in 102
Nevada 56972 742 1.32 20259 963 6 0.63 1.69 18496.47 312.65 1 in 54
Colorado 51020 378 0.75 10472 1862 4 0.22 3.65 8859.58 323.33 1 in 113
Connecticut 50567 247 0.49 2512 4444 3 0.07 8.79 14183.15 1246.46 1 in 71
Arkansas 50028 645 1.31 16101 555 11 2.02 1.11 16577.50 183.91 1 in 60
Iowa 49165 246 0.50 9822 934 3 0.32 1.90 15582.86 296.03 1 in 64
Utah 44390 263 0.60 9864 345 9 2.68 0.78 13846.10 107.61 1 in 72
Oklahoma 43963 397 0.91 18527 605 2 0.33 1.38 11110.27 152.89 1 in 90
Kentucky 35254 272 0.78 11840 775 2 0.26 2.20 7890.91 173.47 1 in 127
Kansas 31183 521 1.70 8527 386 6 1.58 1.24 10703.62 132.50 1 in 93
Nebraska 28696 264 0.93 5849 348 3 0.87 1.21 14834.51 179.90 1 in 67
Idaho 25104 429 1.74 9836 239 2 0.84 0.95 14008.42 133.37 1 in 71
Puerto Rico 22821 700 3.16 10360 279 0 0.00 1.22 7145.64 87.36 1 in 140
New Mexico 22444 129 0.58 5229 690 5 0.73 3.07 10703.78 329.07 1 in 93
Oregon 21488 216 1.02 6641 357 1 0.28 1.66 5094.68 84.64 1 in 196
Rhode Island 19934 196 0.99 2030 1015 1 0.10 5.09 18817.00 958.12 1 in 53
Delaware 15634 59 0.38 2010 591 0 0.00 3.78 16055.22 606.92 1 in 62
District of Columbia 12807 54 0.42 1468 591 0 0.00 4.61 18146.68 837.41 1 in 55
South Dakota 9663 58 0.60 1720 146 0 0.00 1.51 10922.85 165.04 1 in 92
West Virginia 7757 62 0.81 2673 141 2 1.44 1.82 4340.44 78.90 1 in 230
North Dakota 7713 117 1.54 2587 113 1 0.89 1.47 10121.22 148.28 1 in 99
New Hampshire 6840 5 0.07 591 419 0 0.00 6.13 5030.48 308.15 1 in 199
Montana 5017 65 1.31 2397 75 0 0.00 1.49 4694.15 70.17 1 in 213
Maine 4051 7 0.17 340 125 0 0.00 3.09 3013.66 92.99 1 in 332
Alaska 3774 63 1.70 1824 26 0 0.00 0.69 5158.94 35.54 1 in 194
Hawaii 3638 140 4.00 2245 34 3 9.68 0.93 2569.44 24.01 1 in 389
Wyoming 3042 -8 -0.26 855 28 0 0.00 0.92 5256.07 48.38 1 in 190
Vermont 1462 3 0.21 102 58 0 0.00 3.97 2342.99 92.95 1 in 427

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 8998353 574231 6.38 2584032 176361 6.83 227735.93
2 Florida 4013857 536961 13.38 961751 176567 18.36 186884.54
3 Texas 4073661 509581 12.51 1089107 165798 15.22 140491.02
4 New York 6563646 421336 6.42 1398834 14010 1.00 337400.75
5 Georgia 1861962 219025 11.76 588181 73443 12.49 175368.54
6 Illinois 3107641 196699 6.33 827357 32777 3.96 245240.29
7 Arizona 1028231 187523 18.24 234708 42340 18.04 135028.95
8 New Jersey 2324046 185031 7.96 521172 8068 1.55 261652.36
9 North Carolina 2001919 137562 6.87 578031 36331 6.29 190875.57
10 Louisiana 1547933 131961 8.52 445009 37069 8.33 332975.18
11 Pennsylvania 1360283 124221 9.13 320370 17816 5.56 106255.60
12 Tennessee 1727907 123914 7.17 512740 44160 8.61 252870.34
13 Massachusetts 1331276 121315 9.11 279995 7526 2.69 191564.20
14 Alabama 780567 103020 13.20 186779 34129 18.27 159195.91
15 Ohio 1687644 101731 6.03 505732 25563 5.05 144377.58
16 South Carolina 791630 101159 12.78 203314 29714 14.61 153752.96
17 Virginia 1261547 100749 7.99 341086 22374 6.56 147799.68
18 Michigan 2122589 97306 4.58 615800 14911 2.42 212538.24
19 Maryland 1056810 96258 9.11 307531 17573 5.71 174804.16
20 Indiana 852111 74992 8.80 216451 17786 8.22 126572.09
21 Mississippi 494593 67649 13.68 104618 23760 22.71 166185.56
22 Washington 1013179 63647 6.28 203840 15904 7.80 133052.30
23 Minnesota 944160 61516 6.52 76750 14409 18.77 167415.18
24 Wisconsin 1066758 61061 5.72 282892 18043 6.38 183215.13
25 Missouri 769918 60359 7.84 198006 26257 13.26 125446.36
26 Nevada 522192 56972 10.91 126771 20259 15.98 169534.27
27 Colorado 591840 51020 8.62 149671 10472 7.00 102772.55
28 Connecticut 902957 50567 5.60 245664 2512 1.02 253263.48
29 Arkansas 569320 50028 8.79 136504 16101 11.80 188652.42
30 Iowa 521387 49165 9.43 102843 9822 9.55 165253.70
31 Utah 574560 44390 7.73 105156 9864 9.38 179216.32
32 Oklahoma 694448 43963 6.33 218340 18527 8.49 175499.90
33 Kentucky 657807 35254 5.36 163653 11840 7.23 147237.05
34 Kansas 326669 31183 9.55 65138 8527 13.09 112129.69
35 Nebraska 302635 28696 9.48 67739 5849 8.63 156448.38
36 Idaho 206476 25104 12.16 58588 9836 16.79 115216.80
38 New Mexico 627627 22444 3.58 158412 5229 3.30 299321.98
39 Oregon 450732 21488 4.77 110688 6641 6.00 106865.84
40 Rhode Island 222347 19934 8.97 38722 2030 5.24 209887.85
41 Delaware 200672 15634 7.79 47677 2010 4.22 206078.68
42 District of Columbia 220391 12807 5.81 68651 1468 2.14 312279.58
43 South Dakota 121477 9663 7.95 22823 1720 7.54 137315.06
44 West Virginia 327044 7757 2.37 92064 2673 2.90 182997.82
45 North Dakota 169839 7713 4.54 33861 2587 7.64 222867.69
46 New Hampshire 174278 6840 3.92 30900 591 1.91 128172.82
47 Montana 193405 5017 2.59 54363 2397 4.41 180959.00
48 Maine 190906 4051 2.12 51684 340 0.66 142020.75
49 Alaska 280343 3774 1.35 104757 1824 1.74 383220.44
50 Hawaii 142096 3638 2.56 36140 2245 6.21 100359.35
51 Wyoming 57682 3042 5.27 13568 855 6.30 99664.97
52 Vermont 103353 1462 1.41 19485 102 0.52 165632.73

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 535601 11088 2.11 368435 68.79 148553 18306 256 1.42 3.42
Tamil Nadu 308649 5834 1.93 250680 81.22 52810 5159 118 2.34 1.67
Andhra Pradesh 244549 9024 3.83 154749 63.28 87597 2203 87 4.11 0.90
Karnataka 188611 6257 3.43 105599 55.99 79605 3398 86 2.60 1.80
Delhi 147391 1257 0.86 132384 89.82 10868 4139 8 0.19 2.81
Uttar Pradesh 131763 5041 3.98 80589 61.16 48998 2176 56 2.64 1.65
West Bengal 101390 2931 2.98 73395 72.39 25846 2149 49 2.33 2.12
Bihar 86812 4071 4.92 57039 65.70 29307 465 15 3.33 0.54
Telangana 82647 1896 2.35 59374 71.84 22628 645 8 1.26 0.78
Gujarat 73238 1118 1.55 56516 77.17 14027 2695 23 0.86 3.68
Assam 64407 2669 4.32 45074 69.98 19175 155 4 2.65 0.24
Rajasthan 54887 1217 2.27 40399 73.60 13677 811 11 1.38 1.48
Odisha 48796 1341 2.83 34806 71.33 13641 349 12 3.56 0.72
Haryana 43227 798 1.88 36082 83.47 6645 500 11 2.25 1.16
Madhya Pradesh 40734 843 2.11 30596 75.11 9105 1033 18 1.77 2.54
Kerala 36932 1417 3.99 24042 65.10 12721 121 5 4.31 0.33
Jammu and Kashmir 25931 564 2.22 17979 69.33 7462 490 12 2.51 1.89
Punjab 25889 1000 4.02 16790 64.85 8463 636 32 5.30 2.46
Jharkhand 19469 683 3.64 10555 54.21 8720 194 5 2.65 1.00
Chhattisgarh 12985 360 2.85 9239 71.15 3642 104 5 5.05 0.80
Uttarakhand 10432 411 4.10 6470 62.02 3787 136 2 1.49 1.30
Goa 9444 415 4.60 6480 68.61 2878 86 6 7.50 0.91
Tripura 6387 164 2.64 4656 72.90 1670 43 1 2.38 0.67
Puducherry 5900 276 4.91 3532 59.86 2277 91 2 2.25 1.54
Manipur 3941 88 2.28 2155 54.68 1774 12 1 9.09 0.30
Himachal Pradesh 3497 34 0.98 2273 65.00 1179 17 1 6.25 0.49
Nagaland 3031 20 0.66 985 32.50 2032 7 -1 -12.50 0.23
Arunachal Pradesh 2327 96 4.30 1634 70.22 690 3 0 0.00 0.13
Ladakh 1770 53 3.09 1255 70.90 506 9 0 0.00 0.51
Andaman and Nicobar Islands 1764 139 8.55 749 42.46 994 21 1 5.00 1.19
Chandigarh 1670 75 4.70 1015 60.78 628 26 1 4.00 1.56
Dadra and Nagar Haveli and Daman and Diu 1656 39 2.41 1208 72.95 434 2 0 0.00 0.12
Meghalaya 1142 27 2.42 510 44.66 626 6 0 0.00 0.53
Sikkim 913 3 0.33 534 58.49 378 1 0 0.00 0.11
Mizoram 623 3 0.48 323 51.85 300 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1374709 96884 31 0.03 7.05 150 9 5547 16833 17.37
Piemonte 522100 31888 20 0.06 6.11 87 3 809 4136 12.97
Emilia-Romagna 731849 30160 39 0.13 4.12 79 4 1791 4296 14.24
Veneto 1315887 20676 20 0.10 1.57 29 6 1257 2083 10.07
Toscana 451421 10652 8 0.08 2.36 16 1 518 1137 10.67
Liguria 202008 10293 10 0.10 5.10 20 2 212 1569 15.24
Lazio 442833 8860 38 0.43 2.00 195 8 1081 867 9.79
Marche 176830 6956 2 0.03 3.93 11 0 165 987 14.19
Campania 350363 5091 14 0.28 1.45 34 1 398 439 8.62
P.A. Trento 162989 4996 1 0.02 3.07 7 0 79 405 8.11
Puglia 256997 4740 26 0.55 1.84 36 1 213 554 11.69
Abruzzo 136365 3509 7 0.20 2.57 24 1 219 472 13.45
Sicilia 296533 3485 32 0.93 1.18 45 6 450 284 8.15
Friuli Venezia Giulia 269791 3449 0 0.00 1.28 10 3 164 347 10.06
P.A. Bolzano 114630 2774 1 0.04 2.42 8 0 128 292 10.53
Umbria 128298 1510 5 0.33 1.18 8 0 54 80 5.30
Sardegna 113405 1441 2 0.14 1.27 6 0 62 134 9.30
Calabria 128190 1289 2 0.16 1.01 8 1 101 97 7.53
Valle d’Aosta 22524 1217 1 0.08 5.40 5 0 15 146 12.00
Molise 29162 479 0 0.00 1.64 1 0 33 23 4.80
Basilicata 49392 476 0 0.00 0.96 0 0 72 28 5.88

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 60627 156 0.26 5696 1 0.02 9.40 7101.11 667.16 1 in 141
Ontario 42082 120 0.29 2832 0 0.00 6.73 2860.42 192.50 1 in 350
Alberta 11687 257 2.25 213 5 2.40 1.82 2648.22 48.26 1 in 378
British Columbia 4065 131 3.33 195 0 0.00 4.80 795.36 38.15 1 in 1257
Saskatchewan 1450 5 0.35 20 0 0.00 1.38 1227.08 16.93 1 in 815
Nova Scotia 1071 0 0.00 64 0 0.00 5.98 1095.70 65.48 1 in 913
Manitoba 558 16 2.95 8 0 0.00 1.43 405.08 5.81 1 in 2469
Newfoundland and Labrador 268 1 0.37 3 0 0.00 1.12 514.04 5.75 1 in 1945
New Brunswick 176 0 0.00 2 0 0.00 1.14 225.64 2.56 1 in 4432
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4148 55 1.33
Guangdong 1699 8 0.47
Henan 1276 22 1.72
Zhejiang 1274 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 935 9 0.96
Jiangxi 932 1 0.11
Xinjiang 866 3 0.35
Shandong 816 7 0.86
Shanghai 794 7 0.88
Jiangsu 659 0 0.00
Sichuan 615 3 0.49
Chongqing 583 6 1.03
Fujian 367 1 0.27
Hebei 350 6 1.71
Shaanxi 340 3 0.88
Liaoning 261 2 0.77
Inner Mongolia 258 1 0.39
Guangxi 255 2 0.78
Tianjin 205 3 1.46
Shanxi 201 0 0.00
Yunnan 191 2 1.05
Hainan 171 6 3.51
Gansu 169 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 15569.68 499.58 1 in 64
Brazil 14608.07 486.15 1 in 68
India 1694.31 33.80 1 in 590
Russia 6164.70 103.62 1 in 162
South Africa 9936.50 187.25 1 in 101
Mexico 3760.34 410.24 1 in 266
Peru 15018.12 661.36 1 in 67
Colombia 8103.18 268.07 1 in 123
Chile 20778.06 561.72 1 in 48
Iran 4051.80 229.37 1 in 247
Spain 6921.99 612.43 1 in 144
United Kingdom 4716.92 701.55 1 in 212
Saudi Arabia 8802.28 97.12 1 in 114
Pakistan 1444.97 30.95 1 in 692
Bangladesh NA NA 1 in NA
Argentina 5734.54 107.61 1 in 174
Italy 4147.24 582.16 1 in 241
Turkey 2994.64 72.49 1 in 334
France 3572.91 452.71 1 in 280
Germany 2639.30 111.16 1 in 379

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 228069 23586 10.34
Los Angeles California 210543 4998 2.37
Miami-Dade Florida 133623 1874 1.40
Maricopa Arizona 126371 2356 1.86
Cook Illinois 111948 4928 4.40
Harris Texas 86563 1583 1.83
Broward Florida 62898 821 1.31
Dallas Texas 55255 756 1.37
Clark Nevada 49151 811 1.65
Suffolk New York 43844 1998 4.56
Nassau New York 43690 2195 5.02
Bexar Texas 42959 784 1.82
Riverside California 41983 820 1.95
Orange California 40527 726 1.79
Palm Beach Florida 37297 936 2.51
Westchester New York 36233 1447 3.99
San Bernardino California 36072 546 1.51
San Diego California 32975 594 1.80
Hillsborough Florida 32731 388 1.19
Tarrant Texas 32177 449 1.40
Orange Florida 31851 298 0.94
Philadelphia Pennsylvania 31448 1699 5.40
Wayne Michigan 28273 2826 10.00
Middlesex Massachusetts 26470 2005 7.57
Kern California 24440 171 0.70
Prince George’s Maryland 23832 755 3.17
Duval Florida 23530 189 0.80
Shelby Tennessee 23485 308 1.31
Travis Texas 22953 303 1.32
Mecklenburg North Carolina 22315 232 1.04
Suffolk Massachusetts 21929 1074 4.90
Milwaukee Wisconsin 21178 456 2.15
Bergen New Jersey 20825 2038 9.79
Salt Lake Utah 20748 196 0.94
Davidson Tennessee 20722 217 1.05
Fulton Georgia 20468 433 2.12
Hidalgo Texas 20148 829 4.11
Gwinnett Georgia 19971 262 1.31
Essex New Jersey 19747 2111 10.69
Hudson New Jersey 19683 1505 7.65
Hennepin Minnesota 19472 835 4.29
Montgomery Maryland 18489 803 4.34
Franklin Ohio 18483 525 2.84
Fairfield Connecticut 18035 1409 7.81
Pima Arizona 17996 489 2.72
Pinellas Florida 17941 500 2.79
Middlesex New Jersey 17932 1403 7.82
Essex Massachusetts 17883 1194 6.68
Fresno California 17846 171 0.96
Passaic New Jersey 17665 1242 7.03
Out of GA Georgia 16749 91 0.54
Union New Jersey 16725 1350 8.07
King Washington 16707 676 4.05
Lee Florida 16632 334 2.01
Cameron Texas 16590 430 2.59
Fairfax Virginia 16445 529 3.22
El Paso Texas 16396 300 1.83
Marion Indiana 15963 725 4.54
Oakland Michigan 15615 1129 7.23
Nueces Texas 15423 243 1.58
Jefferson Louisiana 15350 529 3.45
Providence Rhode Island 15047 0 0.00
St. Louis Missouri 14941 671 4.49
Polk Florida 14475 314 2.17
DeKalb Georgia 14047 238 1.69
Rockland New York 13949 674 4.83
Cobb Georgia 13729 320 2.33
Worcester Massachusetts 13654 1006 7.37
Cuyahoga Ohio 13640 500 3.67
Alameda California 13631 209 1.53
Baltimore Maryland 13400 563 4.20
Jefferson Alabama 13258 244 1.84
New Haven Connecticut 13224 1106 8.36
San Joaquin California 12864 223 1.73
District of Columbia District of Columbia 12807 591 4.61
Hartford Connecticut 12800 1415 11.05
Lake Illinois 12741 446 3.50
Baltimore City Maryland 12704 430 3.38
Santa Clara California 12694 205 1.61
Charleston South Carolina 12377 196 1.58
DuPage Illinois 12312 520 4.22
East Baton Rouge Louisiana 12244 350 2.86
Wake North Carolina 12110 170 1.40
Sacramento California 12040 177 1.47
Yuma Arizona 11609 289 2.49
Douglas Nebraska 11354 133 1.17
Orange New York 11168 491 4.40
Greenville South Carolina 11001 208 1.89
Tulare California 10862 196 1.80
Orleans Louisiana 10768 562 5.22
Oklahoma Oklahoma 10665 112 1.05
Norfolk Massachusetts 10639 997 9.37
Ocean New Jersey 10603 1018 9.60
Tulsa Oklahoma 10562 107 1.01
Macomb Michigan 10545 947 8.98
Mobile Alabama 10517 207 1.97
Collier Florida 10448 136 1.30
Yakima Washington 10367 212 2.04
Polk Iowa 10351 207 2.00
Monmouth New Jersey 10326 856 8.29

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc